Job Openings

Yale School of Medicine https://medicine.yale.edu/fib-sem/ The FIB-SEM Collaboration Core (F-SCC) at Yale School of Medicine is seeking a Senior Staff Scientist to join our pioneering team at the forefront of volume electron microscopy. The F-SCC leverages cutting-edge enhanced Focused Ion Beam Scanning Electron Microscopy (eFIB-SEM) technology to achieve large-volume imaging at nanometer isotropic resolution.

Position Summary: Under the supervision of the F-SCC Director, the Senior Staff Scientist will manage the image acquisition pipeline. Responsibilities include:

• Performing X-ray-guided FIB-SEM sample preparation
• Conducting enhanced FIB-SEM image acquisition
• Carrying out image registration, alignment, segmentation, and data analysis The successful candidate will be expected to work independently, multitask effectively, and perform experiments using advanced laboratory techniques, including enhanced FIB-SEM and X-ray micro-computed tomography (micro-CT). Collaboration and close communication with the supervisor, collaborators, and core members are essential.

Qualifications:

• Strong expertise in electron microscopy and related imaging technologies preferred
• Ability to manage multiple projects simultaneously and work independently
• Excellent teamwork, communication, and organizational skills

Consideration: please submit an application and cover letter describing how your previous research accomplishments and scientific interests fit with the scope of the research via this link.

Van Andel Institute (VAI), is seeking to hire an Image Analyst (Core Bioinformatician) within our Optical Imaging Core. The Optical Imaging Core (OIC) provides imaging services for VAI and collaborating institutions. Its goal is to serve the VAI community with state-of-the-art imaging resources to address a broad variety of research questions, as well as offering the expertise to train researchers to use these resources effectively. As an Image Analyst on our team, you will assist researchers by providing technical and computational expertise to accomplish their goals through bioimage analysis. In this role, you will be responsible for developing and supporting advanced image analysis workflows, including but not limited to Python-based image processing/analysis pipelines, training of novel machine learning models, bespoke pipelines with existing image analysis software, and FAIR use protocols for reproducible, unbiased image-based assays. You will collaborate with our existing image analyst as well as work directly with PIs and researchers to help design and optimize imaging experiments for appropriate downstream analyses.

A postdoctoral position is available in the group of Dr. Bonnie Murphy at the Max Planck Institute of Biophysics in Frankfurt, Germany to work within the ERC-funded project ‘REEL-EM’. The project aims to develop techniques for elemental mapping within cryo-preserved macromolecular complexes, to address a major unmet need within the structural biology community. Our work brings together the methods of analytical electron microscopy with the powerful image processing tools of single-particle analysis, to allow a high total dose to be spread across many identical copies of a complex of interest (see Pfeil-Gardiner et al., Nature Methods 2024; https://www.nature.com/articles/s41592-024-02482-5). We are looking for a candidate to join us in advancing the sensitivity and resolution of the technique and to implement and improve workflows for efficient image acquisition and processing. An ideal candidate for the post will have demonstrated an enthusiasm for methods development in electron microscopy and/or structural biology. Experience in EM, image processing and scientific programming will be key assets. A candidate with extensive experience in STEM-EELS and/or 4D-STEM data acquisition and processing, and/or development work with high-speed data acquisition and processing with hybrid pixel detectors, could be a good fit even if they do not have any experience in biological or cryo-EM. We are looking for someone who is excited to work at the interface between fields. The candidate should have the ability to work independently but also enjoy collaboration and teamwork. For candidates with extensive experience, an appointment as senior scientist may be considered. Applications will be considered on an ongoing basis

We are looking for senior candidates that can run the electron microscopy facility immediately or after a short orientation phase as well as postdoctoral researchers aiming to develop career profile as science support staff are welcome to apply. The Core Facility Electron Microscopy is integrated within the Research Department Innovative Electron Microscopy and provides electron microscopy service to the whole institute.

Your tasks: As a Facility Manager, you will work on a variety of the electron microscopes (SEM, ESEM, FIB, TEM, including aberration corrected (S)TEM), providing a professional microscopy service for the INM, including training, advice, guidance to staff and performing measurements within variety of research projects undertaken by INM. This includes: • Providing expert advising on best practice, planning, supervising and applying different electron microscopy techniques to research projects undertaken by INM. • Training users of the EM facility (including SEM, FIB, TEM). • Providing day-to-day maintenance of the facility. • Actively contributing to analysis and management of the EM data. Preserving and developing a Research Data Management Plan for the facility. • Supervising work of the technical staff at the facility • Actively engaging in the scientific exchange with the Scientific Units at INM, as well as external academic and industrial partners. As part of the Research Department Innovative Electron Microscopy, you will actively contribute to the development, validation and implementation of novel electron microscopy techniques for analysis of complex functional materials. Scientific publishing and presentation of research results in internal, national and international meetings is also expected.

Postdoctoral researcher on advanced 3D imaging European Research Council Consolidator Grant - DORMATRIX in the field of Bioengineering, Biophysics, Biology, Biomedical Eng, Computer Science or similar

The Cipitria Lab – Bioengineering in Regeneration and Cancer at Biogipuzkoa Health Research Institute, San Sebastián-Donostia, Spain (https://cipitrialab.com) is looking for a postdoctoral researcher. In our group, we aim to understand how biophysical and biochemical properties of native extracellular matrix and synthetic biomaterials guide cell response in regeneration, cancer dormancy and bone metastasis. Biogipuzkoa is located within the structure University Hospital Donostia-Onkologikoa. 

Funded by an ERC CoG grant (https://doi.org/10.3030/101123883), the main objective of DORMATRIX is to engineer breast cancer dormancy as a collective emergent phenomenon using biomaterials-based dormancy-on-a-chip devices. In this project, you will develop advanced 3D imaging to visualize collective cancer dormancy and early bone microdamage. 

Your tasks: -Develop advanced 3D imaging workflows, primarily light sheet fluorescence microscopy (LSFM) -Correlative 3D imaging of tissue structure and biology combining LSFM with high resolution X-ray computed tomography -Optimize sample preparation protocols for imaging of 3D bioengineered systems and biological samples from in vivo models -Collaborate in additional projects that require advanced 3D imaging and become an integral member of our team -Our lab maintains an active part in Germany, as well as interaction with partners at the Max Planck Queensland Center (https://research.qut.edu.au/mpqc/). You will participate in regular consortium meetings and larger consortium events

Your profile, qualifications, knowledge and skills: -PhD in Bioengineering, Biophysics, Biology, Biomedical Eng, Computer Science or similar -Previous experience on advanced 3D imaging, in particular with LSFM -Previous experience in the biomedical field, cell biology or cancer biology labs will be an asset -Excellent ability to conduct experiments independently and collaboratively within our group -Collaborative mindset and motivation to work in an international and interdisciplinary environment -Strong organization skills, project management and proactive “getting things done” mentality -Interest to learn and grow professionally in a young, dynamic and competitive lab -Have a genuine excitement for science, innovation and creative thinking! -Good written and oral communication skills in English (Spanish is not required)

Suggested reading: Young et al, Science Advances 10, eadj0975 (2024); Young et al, Bone 161, 116432 (2022); Bakhshandeh, Heras et al, Science Advances, 10, eadr3997 (2024); Taieb et al, Lab on a Chip 23, 92–105 (2023).

Starting date and duration: March-May 2025, for 3 years with possible extension up to 4 years.

Application: Please send in a single PDF of maximum size 5 MB (i) a motivation letter describing your experience, research interests, expectations and preferred start date, (ii) your CV with a complete list of publications, (iii) transcript of university record and (iv) contact information for three references, to: amaia.cipitriasagardia@bio-gipuzkoa.eus and rrhh@bio-gipuzkoa.eus, indicating “DORMATRIX – Postdoc advanced 3D imaging” in the subject line. The position will remain open until filled.

Applications are invited for a Postdoctoral Research Associate to work jointly with a group of investigators in McGill University, University of Laval, University of Alberta, as with collaborators in several European institutions in a collaborative project that will build next-generation high-throughput microscopy devices. This position is funded by a CIHR Catalyst grant for the development and validation of new biomedical techniques and technologies. The position will be based in McGill University's Department of Physiology, in Montreal, Quebec, Canada.   The project’s objective is to further develop a high-throughput imaging system based on the random access parallel imaging (RAP) system platform (https://doi.org/10.7554/eLife.56426). The RAP platform collects high-contrast images in multi-well plates using an optical scanning approach that avoids the use of robotics. The current project aims to improve RAP by i) modifying RAP to enable capture from many wells simultaneously; ii) developing an optical path to capture fluorescence data; and iii) developing machine learning methods to optimize data collection. In addition, the project is committed to developing open source tools that benefit the imaging community. The applicant will design an optical system that can be easily built and used by non-expert users.  Qualifications and skills:

1. The applicant should have a PhD or equivalent in biomedical engineering, physics, computer science, optical engineering, opto-mechanics, or microscopy; or alternatively have demonstrated proficiency in developing microscopy or optics tools as part of their research program in another field.
2. An interest in open source instrumentation development (software and/or hardware).
3. Proficiency in programming (C, C++, Java or python).
4. Familiarity with machine learning tools and open-source development is a plus. The applicant will work closely with the inventors of RAP technology and a group of academic and industry collaborators that include experts in optics, instrumentation design, bioimaging facilities management, and the integration of machine learning tools with microscopy. In addition, the applicant will have access to an external open-science steering committee with expertise in microscopy to ensure project outputs follow best-practices for open-source science.

Apply here: https://mcgill.wd3.myworkdayjobs.com/en-US/McGill_Careers?q=JR0000063953

For information on the Bub Lab see: https://gil-bub.lab.mcgill.ca/

Director, Quantitative Cellular Imaging – Cell Science The goal of Allen Institute for Cell Science is to develop a comprehensive and holistic approach to measure, describe, and model cell states and their dynamic changes over time with the ultimate goal of uncovering the fundamental principles of multiscale, multicellular morphogenesis, including how groups of cells organize and achieve collective behaviors essential for life. Our approach encompasses multi-modal data collection including live 3D timelapse imaging, data analysis, theory, and predictions to understand cell states and cell state transitions in human induced pluripotent stem cell models. As a division within the Allen Institute, the Allen Institute for Cell Science uses a team-oriented approach, focusing on accelerating foundational research, developing standards and models, and cultivating new ideas to make a transformational impact on science.

The Allen Institute for Cell Science is seeking an outstanding, goal-oriented, highly motivated Director, Quantitative Cellular Imaging, to drive our efforts to ideate, invent, scale, and implement quantitative cellular imaging assays from initial cell line creation through image data collection using different stem cell models. This is an exciting and rare opportunity for a generalist to contribute to the Allen Institute for Cell Science’s transformative vision of cellular biology. The Director, Quantitative Cellular Imaging, works closely with Program Management and Leadership to further develop and then implement the Institute’s mission and milestones based on Leadership’s strategic vision. They will also lead a diverse team of subject matter experts, ranging from experimental and quantitative researchers to microscope instrument specialists.

At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.

We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Responsibilities include: Leadership and Strategy

• Provide strategic direction for experimental cell biology and quantitative imaging efforts in alignment with the Institute research goals
• Keep up to date with the newest developments in quantitative cell biology and live imaging modalities
• Foster a collaborative and supportive team environment that encourages creativity and innovation
• Work closely with Leadership and Program Management to develop, communicate, implement, and drive Leadership’s strategic vision forward Research and Development
• Oversee the implementation of quantitative image-based assays from initial cell line creation through image data acquisition toward producing multi-modal, integratable data (e.g. imaging data paired with “omics” data) for image analysis, and descriptive and explanatory modeling
• Develop a roadmap and proposals for cell line, assays, and imaging-based efforts, identify technical risks and dependencies in the planning process, ensuring timely mitigation with Program Management
• Develop a roadmap and implementation plan for cutting-edge microscope modalities as needed to meet the scientific goals of the Institute
• Work with fellow directors of synthetic biology, quantitative image analysis & descriptive modeling, explanatory modeling and software engineering as well as other stakeholders to prioritize, plan and implement experimental image-based assay efforts Management and Mentorship
• Manage experimental and quantitative (joint experimental and computational) management teams, individual researchers, and microscope instrument specialists, providing guidance, mentorship, professional growth and skill development and performance feedback
• Scientifically supervise scientists/subject matter experts as appropriate for their specific projects
• Oversee the recruitment, training, and professional development of team members
• Foster a culture of learning and knowledge sharing within the team and within the Institute Dissemination and Collaboration
• Actively participate in scientific conferences and workshops, presenting research findings and networking with the research community
• Establish and maintain collaborations with external researchers and institutions
• Contribute to the dissemination of research findings through publications, presentations, and other channels Required Education and Experience
• PhD degree in biological science (e.g., cell biology, developmental biology, biophysics, bioengineering), physical science, or related science, engineering or related field or equivalent combination of degree and experience required
• Established as an expert in cell biology with publications in peer-reviewed journals
• Minimum 7 years of professional, post-PhD experience in quantitative cell biology
• Proven leadership qualities with at least 3 years of independent supervisory experience (such as in a laboratory head/PI role) Preferred Education and Experience
• Minimum 10 years of professional, post-degree experience in quantitative cell biology
• Extensive experience with 3D, live fluorescent imaging modalities
• Extensive experience developing quantitative image-based assays to generate integratable, multi-modal data (e.g. imaging data paired with “omics” data)
• Experience working with standardization in imaging assays, including metadata and data management
• Experience working in 3D stem cell models
• Experience developing cell models for imaging assays
• Experience implementing and maintaining microscope infrastructure
• Experience in image analysis
• Experience working in dynamic, fast-paced research environments with a start-up and growth mindset
• Strong collaboration skills, including working with program managers and diverse subject matter experts
• Proven ability to manage projects and people at multiple levels within a multidisciplinary team
• Extensive experience in manuscript writing and collaborative grant writing
• Excellent organizational, written, and verbal communication skills, with strong interpersonal skills for cross-team coordination Position Type/Expected Hours of Work
• This role is currently working onsite and is expected to work onsite for the majority of working hours. The primary work location for this role is 615 Westlake Ave N., with the flexibility to work remotely on a limited basis. Travel
• Attendance and participation in national and international conferences required Additional Comments
• **Please note, this opportunity offers relocation assistance**
• **Please note, this opportunity offers work visa sponsorship** Annualized Salary Range
• $206,450 - $270,900 * * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable. Benefits
• Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities

Director, Explanatory Modeling – Cell Science The goal of Allen Institute for Cell Science is to develop a comprehensive and holistic approach to measure, describe, and model cell states and their dynamic changes over time with the ultimate goal of uncovering the fundamental principles of multiscale, multicellular morphogenesis, including how groups of cells organize and achieve collective behaviors essential for life. Our approach encompasses multi-modal data collection including live 3D timelapse imaging, data analysis, theory, and predictions to understand cell states and cell state transitions in human induced pluripotent stem cell models. As a division within the Allen Institute, the Allen Institute for Cell Science uses a team-oriented approach, focusing on accelerating foundational research, developing standards and models, and cultivating new ideas to make a transformational impact on science. The Allen Institute for Cell Science is seeking a highly motivated and goal-oriented Director of Explanatory Modeling, to lead the development and implementation of multiscale mechanistic models that explain how cellular events emerge from underlying processes— for example, by iterating between and integrating agent-based approaches, bottom-up simulations, continuum models, and theory. This role offers a unique opportunity for a generalist to contribute to The Institute’s transformative vision for cellular biology as described in our recent Perspectives article in Cell. The Director will work closely with Program Management and Leadership to refine and execute the Institute’s mission and milestones aligning with our strategic goals. They will also lead a diverse team of subject matter experts, including computational biologists, quantitative and modeling scientists, and software engineers, working together to build frameworks that not only mirror real cellular dynamics, but also predict the outcomes of experiments not yet conducted. At the Allen Institute, we believe that science is for everyone – and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We also believe that science is better when it includes different perspectives and voices. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment. We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions. Responsibilities: Leadership and Strategy:

• Provide strategic direction for explanatory modeling efforts, ensuring alignment with the Institute research goals
• Stay at the forefront of emerging advancements in explanatory modeling including agent-based and biophysical continuum modeling and simulations to inform research directions
• Foster a collaborative, cross-disciplinary team environment that encourages creativity, innovation, and integration of diverse modeling approaches
• Work closely with Leadership and Program Management to develop, refine, communicate, and implement the Institute’s strategic vision, ensuring that explanatory modeling contributes meaningfully to broader scientific goals Research and Development:
• Lead the development of multiscale mechanistic models that explain how cellular events emerge from underlying molecular and biophysical processes, integrating and iterating between agent-based approaches, bottom-up simulations, continuum models, and theory
• Contribute to productive integration of computational and experimental data to build predictive frameworks that can link molecular-scale mechanisms to emergent cellular behaviors observed in imaging data
• Develop a roadmap and proposals for explanatory modeling efforts, identifying key technical risks, dependencies, and milestones in collaboration with Program Management to ensure timely mitigation
• Guide the selection and development of computational tools and methodologies required to scale explanatory modeling approaches, ensuring they align with the Institute’s broader research infrastructure
• Work closely with fellow directors of synthetic biology, quantitative cellular imaging, quantitative image analysis & descriptive modeling, software engineering, and other stakeholders to prioritize, plan and implement explanatory modeling strategies that complement other experimental image-based assay efforts Management and Mentorship:
• Lead and mentor managers and individuals on a multidisciplinary team of computational biologists, quantitative and modeling scientists, and software engineers, fostering a collaborative environment that integrates diverse expertise
• Scientifically supervise scientists/subject matter experts, as appropriate, for their specific projects
• Oversee the recruitment, training, and career development of team members, supporting their professional growth in computational modeling, mechanistic simulation, and interdisciplinary collaboration
• Foster a culture of learning and knowledge sharing, encouraging team members to stay engaged with cutting-edge developments, other efforts in the institute, and to contribute to the broader research community
• Provide structured performance feedback and mentorship, guiding both early-career and senior scientists toward leadership roles in explanatory modeling Dissemination and Collaboration:
• Actively participate in scientific conferences and workshops, presenting research findings and networking with the research community
• Establish and maintain collaborations with external researchers and institutions
• Communicate explanatory modeling insights to experimental biologists and other stakeholders, ensuring that these approaches effectively inform hypothesis generation and experimental design
• Advocate for open science and reproducibility, contributing to community-driven initiatives that promote standardized data formats, model sharing, and transparent research practices
• Support external collaboration across disciplines, ensuring that model development is well-integrated with experimental biology, imaging technologies, and data science efforts *Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management’s assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned. Required Education and Experience
• PhD degree in biological science (e.g., cell biology, developmental biology, biophysics, bioengineering), physical science, or related science, engineering or related field or equivalent combination of degree and experience required
• Established as an expert in explanatory modeling in cell biology with a track record of peer-reviewed publications and/or code repositories demonstrating contributions to mechanistic, agent-based, or multiscale modeling of cellular systems
• Minimum 7 years of professional, post-PhD experience developing and applying computational models to understand cellular behaviors
• Proven leadership qualities with at least 3 years of independent supervisory experience (such as in a laboratory head/PI role) Preferred Education and Experience
• Minimum 10 years of professional, post-degree experience in explanatory modeling
• Extensive experience with mechanistic, agent-based, or multiscale simulations of cellular systems
• Extensive experience with continuum models in the cellular biophysics space
• Extensive experience in integrating explanatory models with experimental data, particularly in live-cell imaging, single-cell analysis, and/or biophysical measurements
• Proven ability to develop scalable modeling frameworks that link molecular-scale interactions to emergent multicellular behaviors
• Experience in model validation and reproducibility, including the use of community standards for data sharing, metadata annotation, and simulation reproducibility
• Background in developing or applying computational tools for 3D and 4D live-cell image-based analysis and mechanistic simulations
• Experience working in dynamic, fast-paced research environments with a start-up and growth mindset
• Strong collaboration skills, including working with program managers and diverse subject matter experts
• Proven ability to manage projects and people at multiple levels within a multidisciplinary team
• Extensive experience in manuscript writing and collaborative grant writing
• Excellent organizational, written, and verbal communication skills, with strong interpersonal skills for cross-team coordination Physical Demands
• Fine motor movements in fingers/hands to operate computers and other office equipment; repetitive motion with lab equipment Position Type / Expected Hours of Work
• This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State. Travel
• Attendance and participation in national and international conferences required Additional Comments
• **Please note, this opportunity offers relocation assistance**
• **Please note, this opportunity offers work visa sponsorship** Annualized Salary Range
• $206,450 - $270,900 * * Final salary depends on the required education for the role, experience, level of skills relevant to the role, and work location, where applicable. Benefits
• Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute’s Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute’s 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute’s benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities

ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment.

The successful candidate will be joining the Super-resolution Light Microscopy & Nanoscopy (SLN) Research Facility at ICFO led by Dr. Pablo Loza-Alvarez, which is equipped with front-end microscopy techniques that are able to operate a step beyond the commercial state of the art.

The successful candidate will be responsible for studying how to apply optical techniques to analyse and recover the information of historical wall paintings and identify its composition, status, or all relevant information for the preservation of the UNESCO World Heritage Site La Pedrera-Casa Milà (Barcelona).

This project is a collaboration between Fundació Catalunya La Pedrera and ICFO.

The successful candidate’s position will be linked to ICFO.

Position Description The McGill University Department of Anatomy and Cell Biology and the Ludmer Centre for Neuroinformatics and Mental Health in the Faculty of Medicine and Health Sciences invite applications for a full-time Contract Academic Staff position at the rank of Assistant Professor (Research) in the general area of molecular neurobiology in health and disease. The position is based at the Lady Davis Institute for Medical Research (LDI), Jewish General Hospital (JGH). This position will be a part of the Ludmer Centre Single-Cell Genomics Brain Initiative in partnership with the Douglas Mental Health Institute, the Montreal Neurological Institute (The Neuro) and the LDI/JGH. This will be a three year renewable Contract Academic Staff position and does not confer eligibility for tenure. The McGill University Department of Anatomy and Cell Biology is part of the School of Biomedical Sciences within the Faculty of Medicine and Health Sciences at Canada’s renowned McGill University, located in the vibrant and multicultural city of Montreal, in the province of Quebec. The LDI is the research arm of the Jewish General Hospital (JGH)—a major teaching hospital affiliated with the Faculty of Medicine and Health Sciences at Canada’s internationally renowned McGill University, located in the vibrant and multicultural city of Montreal, in the province of Quebec. The JGH is affiliated with the CIUSSS du Centre-Ouest-de-l'Île-de-Montréal (CCOMTL) and is part of the McGill Integrated University Health Network. Over the years, the LDI has been remarkably successful in attracting outstanding investigators with recognized excellence in areas such as Cancer Therapeutics, Molecular Oncology, Cell and Gene Therapy, AIDS/HIV, Aging, Hypertension and Cardiovascular Disease, Clinical Epidemiology, and Psychosocial Aspects of Disease. The LDI boasts more than 200 researchers, 450 administrative and support staff, and about 275 post-graduate students and post-doctoral fellows who receive their research training at the Institute yearly. The successful candidate’s research program will benefit from the state-of-the-art core facilities and the on-site JGH Bio-portal including the diverse biobanks and clinical teams together representing valuable resources to study brain health and disease.   Job Duties The successful candidate will be an emerging research leader launching independent research programs focused on fundamental neurobiology, including but not limited to, neurodegeneration, neuroinflammation, and brain disorders/diseases including brain tumors. The successful candidate will be appointed for a three-year, renewable term within the Department of Anatomy and Cell Biology. In addition to lab and office space at the Lady Davis Institute for Medical Research, the individual will have access to all the resources of the LDI and the McGill University downtown campus, including animal facilities, core facilities, and collaborative support. They will also be provided a competitive startup package and structured mentorship to support the launching of their research program. The successful candidate will be involved in the academic activities of the McGill University Department of Anatomy and Cell Biology; they will be expected to demonstrate aptitude, enthusiasm, and excellence in research. The incumbent will also be expected to establish and carry out an innovative and externally funded research program that integrates with existing strengths within the LDI and the Department. The successful candidate will also be expected to be actively involved in all aspects of McGill’s academic mission (i.e., research, teaching, supervision of students, residents, post-doctoral fellows, and involvement in academic and administrative committees). They will also be expected to contribute to undergraduate and graduate classroom-based teaching. McGill faculty members are expected to contribute to service activities within their units, the University, and the wider scholarly community. A demonstrated commitment to equity, diversity, and inclusion is also expected.

Qualifications and Education Requirements Candidates must:

• Have completed a PhD or MD/PhD in Cell Biology, Neurobiology, or a related field within the last 5 years;
• Possess post-doctoral training in the area of single cell “omic” technology or a related discipline;
• Have evidence of strong research productivity and a publication record of primary research articles in the field of neurobiology, neurochemistry, or neurogenetics with a demonstrated ability to attract competitive funding;
• Be poised to launch an independent research fundamental neurobiology including but not limited to neurodegeneration, neuroinflammation, and brain disorders/diseases including brain tumors;
• Fluency in English is essential; a working knowledge of French, or a commitment to acquiring it within a few years of appointment is preferred.

JOB DETAILS Faculty/Department/Unit:_ Faculty of Medicine and Health Sciences, Department of Anatomy and Cell Biology Employee Type: _ Contract Academic Staff ('Academic Contractual') Rank: Assistant Professor Salary: Salary will be commensurate with qualifications and experience Job Status: Full-time Posting Period: 60 days from the date of posting   APPLICATION PROCESS Applications must be submitted through Workday at:    https://mcgill.wd3.myworkdayjobs.com/McGill_Careers/job/JGH---Jewish-General-Hosp/Assistant-Professor--Research---Department-of-Anatomy-and-Cell-Biology--C1-250306-_JR0000063758

Are you a driven outgoing cell biologist who wants to try a new path, or do you already have a position in sales and want to join a winning team? We have an exciting opportunity for You!

Responsibilities

• Develop and maintain relationships with existing and new customers
• Locate new potential customers via prospecting, cold calling, and setting up appointments with key decision-makers
• Provide after-sale training and follow up technical training
• Provide exceptional customer service and technical support
• Attend conferences, trade shows, and seminars as required

  Requirements

• Master's degree in cell biology or related fields
• Demonstrated ability to culture cells
• 3+ years of laboratory experience from academia, biotech, CRO/CMO or pharma organization
• Excellent written and verbal communication skills
• Consultative, technical selling experience
• Confident with presenting 1- to -1 and to large groups
• Able to work well on a solitary basis and as part of a team
• Display good business acumen with an entrepreneurial mindset
• With an outgoing personality that thrives in managing multiple stake-holders

The Yale West Campus Imaging Core (WCIC) is seeking a highly qualified and motivated Staff Scientist II (Research Cores) with a specialization in super-resolution microscopy. The WCIC serves the entire Yale research community, particularly the multidisciplinary institutes on West Campus.   The ideal candidate will excel in a multi-user facility and be an integral part of a broader analytical services team. Presently, the WCIC supports over 120 users from more than 60 different research groups. Reporting to the WCIC Director, the Staff Scientist will provide technical support and train faculty, graduate students, and postdoctoral researchers in the use of advanced light microscope systems, sample preparation, and data analysis. Our systems are state-of-the-art optical imaging technologies including confocal, FLIM, light-sheet, and super-resolution microscopy (STED and 3D MINFLUX). Expertise in super-resolution microscopy, especially STORM and/or MINFLUX as well as image analysis is preferred.

The Imaging Specialist will report to the Director of Imaging Services within the Division of Research. Responsibilities include providing technical support and training on the use of a variety of instruments in the MBL’s Central Microscopy Facility (CMF), including training in specimen preparation and image acquisition, processing, and analysis. The Imaging Specialist will similarly assist with managing use of vendor instruments by Advanced Research Training Courses and Resident and Visiting Researchers in the Division of Research.

ICFO is offering a postdoctoral position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment.

The successful candidate will be joining the Super-resolution Light Microscopy & Nanoscopy (SLN) Research Facility at ICFO led by Dr. Pablo Loza-Alvarez which is equipped with front-end microscopy techniques that are able to operate a step beyond the commercial state of the art.

The candidate will be working on exploring the connectivity and plasticity properties of Working Memory - engrams by combining single-cell optogenetics and calcium imaging in ex vivo slices of the mouse anterolateral frontal cortex.

The Integrative Imaging BioImage Data Analyst will work with Janelia scientists and external users at all stages of their microscopy experiments and will be a primary source of bioimage analysis expertise. This expertise will be shared through end-to-end project management, including development of quantitative experimental designs; implementation of custom analysis and visualization tools; and interactions with the Integrative Imaging team, Janelia community, and external users. This is an excellent role for a problem solver with an empathetic, collaborative mentality who enjoys partnering with interdisciplinary scientists.

We are looking for a highly motivated and dedicated postdoctoral researcher. The postholder will support projects in the field of medical image analysis and machine learning applied to biomedical imaging data. The vision and ambition of this research programme is to support projects in computational tissue imaging that help to advance biomedical imaging to link insights in molecular understanding of disease with clinical medicine. You will be developing  algorithms that make use of latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different  scales. You will be working directly with experts in biomedical image analysis, machine learning, and clinical scientists.

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

In Roche’s Pharmaceutical Research and Early Development organization (pRED), we make transformative medicines for patients to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicine. Together, we create a culture defined by curiosity, responsibility and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.

This position is located in Lead Discovery, a department within Small Molecule Research which is part of the Therapeutic Modalities function, where the discovery of chemical starting points for further optimization in medicinal chemistry is our primary focus. 

The Opportunity

As a drug discovery research team, we continuously strive for excellence to uncover new chemical starting points addressing unmet medical needs. Here, we are offering an outstanding opportunity for a new team member in Lead Discovery with a passion for microscopy image analysis and data science.

• You are a data scientist in the field of microscopy image analysis and impact the discovery of new chemical starting points in hit & lead identification and optimization programs. You are enthusiastic about advancing our understanding of drug targets and mechanisms of action in targeted and phenotypic screening approaches.
• You apply your expertise and vision to design, implement and complete image and data analysis strategies at scale for high-content imaging screens using cellular models by both segmentation / feature extraction and machine learning-based processes, data condensation and data visualization.
• You implement innovative image analysis frameworks and QC standards to uncover complex patterns and extract relevant information from high-content imaging and screening datasets while closely working together with colleagues from the Assay Development and High Throughput Screening & Profiling teams.
• You are a crucial contributor within our multidisciplinary matrix teams and as an individual contributor collaborating across pRED, internal collaborators and external vendors and collaborators. You have the opportunity to closely interact with outstanding imaging specialists in our Data & Analytics organization, using their expertise and growing yourself in the field of image analysis.

Who you are

• We are looking for a Ph.D.-level scientist and/or >4 years of confirmed experience and a track record in microscopy image analysis, high content screening and a good understanding of drug discovery principles gained through experience in the pharmaceutical or biotech industries. Experience in omics data analysis is beneficial, but not crucial.
• You apply data science methodologies and techniques to analyze, interpret and interrogate large-scale data sets and optionally bring data management experience.
• You bring hands-on experience with popular deep learning frameworks (e.g. PyTorch, TensorFlow, Keras, Transformers) with strong programming skills in languages such as Python, R or others and have a background  in using relevant classic image analysis software tools such as CellProfiler, Imagence, ImageJ, FiJI or others. 
• You communicate clearly and concisely and can handle stakeholders efficiently in a matrix team including technical and non-technical collaborators.
• You thrive in a dynamic, inclusive environment which gives you full accountability for your own contributions and development. 

Unwavering focus, collaborative teamwork and exceptional delivery are key behaviours that drive our mission of doing now what patients need next. Together, we can be transformative.

If you are passionate about contributing to a committed team and have the dedication to partnership and innovation, Roche is the place for you! Every role at Roche plays a part in making a difference in patients’ lives. Apply now and join us in making an impact!

The scientific title of this position might be adjusted depending on the experience and seniority of the final candidate.

The successful candidate will be an integral part of a team whose aim is to discover the next generation genetic therapies for a wide range of indications. The position requires enthusiasm, passion, attention to detail, and a desire to create new medicines for patients.